lukecwik commented on a change in pull request #11492:
URL: https://github.com/apache/beam/pull/11492#discussion_r418778740
##########
File path:
runners/flink/src/main/java/org/apache/beam/runners/flink/translation/functions/FlinkExecutableStageFunction.java
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@@ -247,25 +247,27 @@ public void reduce(Iterable<WindowedValue<InputT>>
iterable, Collector<RawUnionV
timerInternals.advanceSynchronizedProcessingTime(BoundedWindow.TIMESTAMP_MAX_VALUE);
// Now we fire the timers and process elements generated by timers (which
may be timers itself)
- try (RemoteBundle bundle =
- stageBundleFactory.getBundle(
- receiverFactory, timerReceiverFactory, stateRequestHandler,
progressHandler)) {
-
- PipelineTranslatorUtils.fireEligibleTimers(
- timerInternals,
- (KV<String, String> transformAndTimerId, Timer<?> timerValue) -> {
- FnDataReceiver<Timer> fnTimerReceiver =
- bundle.getTimerReceivers().get(transformAndTimerId);
- Preconditions.checkNotNull(
- fnTimerReceiver, "No FnDataReceiver found for %s",
transformAndTimerId);
- try {
- fnTimerReceiver.accept(timerValue);
- } catch (Exception e) {
- throw new RuntimeException(
- String.format(Locale.ENGLISH, "Failed to process timer: %s",
timerValue));
- }
- },
- currentTimerKey);
+ while (timerInternals.hasPendingTimers()) {
Review comment:
It makes sense to do this in batch as well since the processing timers
should get dropped and any newly scheduled event time timers should be
continually fired.
This would require updating FlinkExecutableStageFunction and
SparkExecutableStageFunction
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